Marco Hülsmann

According to our database, Marco Hülsmann authored at least 16 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Determining Lennard-Jones Parameters Using Multiscale Target Data through Presampling-Enhanced, Surrogate-Assisted Global Optimization.

Max Müller, Alexander Hagg, Robin Strickstrock, Marco Hülsmann, Alexander Asteroth, Karl N. Kirschner, Dirk Reith

J. Chem. Inf. Model., April, 2023

2022

Optimizing Lennard-Jones parameters by coupling single molecule and ensemble target data.

Robin Strickstrock, Marco Hülsmann, Dirk Reith, Karl N. Kirschner

Comput. Phys. Commun., 2022

2020

Voting for authorship attribution applied to dark web data.

Britta Sennewald, Rainer Herpers, Marco Hülsmann, Kenneth B. Kent

Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

2017

Molecular Dynamics Simulation of Membrane Free Energy Profiles Using Accurate Force Field for Ionic Liquids.

Thorsten Köddermann, Martin R. Schenk, Marco Hülsmann, Andreas Krämer, Karl N. Kirschner, Dirk Reith

Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017

Calculation of Chemical Equilibria in Multi-Phase: Multicomponent Systems.

Marco Hülsmann, Bernhard Klaassen, Andreas Krämer, Ottmar Krämer-Fuhrmann, Tosawi Pangalela, Dirk Reith, Klaus Hack, Johannes Linden

Proceedings of the Scientific Computing and Algorithms in Industrial Simulations, 2017

2015

Optimizing Molecular Models Through Force-Field Parameterization via the Efficient Combination of Modular Program Packages.

Marco Hülsmann, Karl N. Kirschner, Andreas Krämer, Doron D. Heinrich, Ottmar Krämer-Fuhrmann, Dirk Reith

Proceedings of the Molecular Modeling and the Materials Genome: Foundations of Molecular Modeling and Simulation 2015, 2015

2014

Automated parameterization of intermolecular pair potentials using global optimization techniques.

Andreas Krämer, Marco Hülsmann, Thorsten Köddermann, Dirk Reith

Comput. Phys. Commun., 2014

2013

SpaGrOW - A Derivative-Free Optimization Scheme for Intermolecular Force Field Parameters Based on Sparse Grid Methods.

Marco Hülsmann, Dirk Reith

Entropy, 2013

2012

General Sales Forecast Models for Automobile Markets and their Analysis.

Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith

Trans. Mach. Learn. Data Min., 2012

2011

General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques.

Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

2010

Engineering Chemical Substances via Molecular Simulations Utilizing Efficient Gradient-Based Optimization Algorithms.

Marco Hülsmann, Thorsten Köddermann, Dirk Reith

ERCIM News, 2010

Assessment of numerical optimization algorithms for the development of molecular models.

Marco Hülsmann, Jadran Vrabec, Astrid Maaß, Dirk Reith

Comput. Phys. Commun., 2010

GROW: A gradient-based optimization workflow for the automated development of molecular models.

Marco Hülsmann, Thorsten Köddermann, Jadran Vrabec, Dirk Reith

Comput. Phys. Commun., 2010

2009

A New Approach to Explicable Sales Forecast Models for the German Automobile Market.

Marco Hülsmann, Christoph M. Friedrich, Dirk Reith

ERCIM News, 2009

A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods.

Bernhard Brühl, Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

2007

Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods.

Marco Hülsmann, Christoph M. Friedrich

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007